Building AI systems that can beat humans at complex games is one of the most tantalizing and challenging problems in AI. It has been a challenge that has been pursued by AI researchers for decades and has been the focus of some of the most intense research efforts in AI. In general, AI systems that…
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Rule-based systems that are difficult to maintain
Rule-based systems are often difficult to maintain for a number of reasons. First, the rules themselves may be complex and difficult to understand. Second, the rules may interact with each other in unpredictable ways, making it difficult to predict the behavior of the system as a whole. Third, as the environment in which the system…
Fuzzy logic systems that are difficult to design
Why Fuzzy Logic Systems are difficult to design: First and foremost, when designing a Fuzzy Logic System, one must carefully select Membership Functions that accurately represent the data at hand. If the membership functions do not properly reflect the data, then the entire system may be thrown off balance. Secondly, the rules which dictate the…
evolutionary algorithms that are difficult to understand
AI systems that employ “evolutionary algorithms that are difficult to understand” can be said to be constantly learning and constantly seeking out new data and feedback in order to improve their understanding of the complexities of the real world. One example of this is an AI system that monitoring a factory line for changes in…
Poor long-term planning
As the popularity of artificial intelligence (AI) grows, so does the likelihood that poor long-term planning will become more commonplace. While AI has the potential to make planning more efficient, it also has the potential to exacerbate the problems associated with poor planning. There are a number of reasons why AI may lead to poor…
Fragile agents that fail in unexpected ways
There are a number of ways that AI can be used to address the issue of fragile agents that fail in unexpected ways. For example, AI can be used to develop better models of agent behavior that are more resilient to unexpected failures. AI can also be used to develop better methods for detecting and…